我是新手,在配置单元上使用json数据。我正在开发一个获取json数据并将其存储到配置单元表的Spark应用程序。我有这样一个JSON:java.lang.ClassCastException:org.apache.hadoop.hive.ql.io.orc.OrcStruct不能转换为org.apache.hadoop.io.Text。 json serde错误
,看起来像这样展开时:
我能够读取JSON成数据帧,并将其保存在HDFS的位置。但让数据读取是非常困难的。
我在网上例如搜索后,我试着这样做:
使用STRUCT
所有JSON字段,然后访问使用column.element
的元素。
例如:
web_app_security
将是在表内(类型STRUCT
的)的柱,并在它的另一jsons像config_web_cms_authentication, web_threat_intel_alert_external
的名称也将是的Structs(与rating
和rating_numeric
作为字段) 。
我试着用json serde创建表。这里是我的表格定义:
CREATE EXTERNAL TABLE jsons (
web_app_security struct<config_web_cms_authentication: struct<rating: string, rating_numeric: float>, web_threat_intel_alert_external: struct<rating: string, rating_numeric: float>, web_http_security_headers: struct<rating: string, rating_numeric: float>, rating: string, rating_numeric: float>,
dns_security struct<domain_hijacking_protection: struct<rating: string, rating_numeric: float>, rating: string, rating_numeric: float, dns_hosting_providers: struct<rating:string, rating_numeric: float>>,
email_security struct<rating: string, email_encryption_enabled: struct<rating: string, rating_numeric: float>, rating_numeric: float, email_hosting_providers: struct<rating: string, rating_numeric: float>, email_authentication: struct<rating: string, rating_numeric: float>>,
threat_intell struct<rating: string, threat_intel_alert_internal_3: struct<rating: string, rating_numeric: float>, threat_intel_alert_internal_1: struct<rating: string, rating_numeric: float>, rating_numeric: float, threat_intel_alert_internal_12: struct<rating: string, rating_numeric: float>, threat_intel_alert_internal_6: struct<rating: string, rating_numeric: float>>,
data_loss struct<data_loss_6: struct<rating: string, rating_numeric: float>, rating: string, data_loss_36plus: struct<rating: string, rating_numeric: float>, rating_numeric: float, data_loss_36: struct<rating: string, rating_numeric: float>, data_loss_12: struct<rating: string, rating_numeric: float>, data_loss_24: struct<rating: string, rating_numeric: float>>,
system_hosting struct<host_hosting_providers: struct<rating: string, rating_numeric: float>, hosting_countries: struct<rating: string, rating_numeric: float>, rating: string, rating_numeric: float>,
defensibility struct<attack_surface_web_ip: struct<rating: string, rating_numeric: float>, shared_hosting: struct<rating: string, rating_numeric: float>, defensibility_hosting_providers: struct<rating: string, rating_numeric: float>, rating: string, rating_numeric: float, attack_surface_web_hostname: struct<rating: string, rating_numeric: float>>,
software_patching struct<patching_web_cms: struct<rating: string, rating_numeric: float>, rating: string, patching_web_server: struct<rating: string, rating_numeric: float>, patching_vuln_open_ssl: struct<rating: string, rating_numeric: float>, patching_app_server: struct<rating: string, rating_numeric: float>, rating_numeric: float>,
governance struct<governance_customer_base: struct<rating: string, rating_numeric: float>, governance_security_certifications: struct<rating: string, rating_numeric: float>, governance_regulatory_requirements: struct<rating: string, rating_numeric: float>, rating: string, rating_numeric: float>
)ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'
STORED AS orc
LOCATION 'hdfs://nameservice1/data/gis/final/rr_current_analysis'
我试着用json serde解析行。我一直保存到表中的一些数据后,我收到以下错误,当我尝试进行查询:
Error: java.io.IOException: java.lang.ClassCastException: org.apache.hadoop.hive.ql.io.orc.OrcStruct cannot be cast to org.apache.hadoop.io.Text (state=,code=0)
我不知道如果我这样做的正确方法。
我愿意以任何其他方式将数据存储到表中。任何帮助,将不胜感激。谢谢。
感谢您的回答。我treid保存我的数据框作为文本文件使用'df.rdd.saveAsTextFile(“路径”)'但我得到他的错误'org.apache.hadoop.mapred.FileAlreadyExistsException:输出目录已存在'我不知道为什么它试图为每个数据帧创建一个新目录,而不是在给定路径中创建一个新文件。有没有更好的方式将数据框保存为文本文件?或者有什么办法可以将数据框保存为csv并给出适当的表定义来读取csv文件并使用json serde? @Sergey Khudyakov –
@HemanthAnnavarapu来看看'df.write',特别是'df.write.mode(SaveMode)'。我不知道你为什么现在提到CSV文件,但我强烈建议你先阅读Hive Developer Guide(答案中的链接)和Spark DataFrame API文档。 “更好的方法”实际上取决于你想要达到什么样的目标,你希望在Hive中拥有什么类型的表格等。 –
我正在尝试使用csv,因为我已经搜索了将文本保存为文本以及大多数他们指的是使用'DF.write.format(“org.databricks.spark.csv”)。save(“path”)''的例子。由于'Df.saveAsTextFile'不起作用,我试着用csv。有什么办法可以在'csv'文件上使用'serde'?或者,我可以使用'orc'格式来覆盖'输入格式'吗? @Sergey Khudyakov –